Handling abuse causes premature bearing failures

Gurumoorthy, K.; Faye, Bradley D.; Ghosh, Arindam

doi:10.1016/j.csefa.2013.08.002

Cited by 17 publications

(7 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bakelite mounted and polished cut sections were used for metallographic observation and hardness measurements. The microstructure was studied after etching with 3% Nital [3,4].…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, the bearing inner diameter is lined with a sacrificial material to absorb damage and to protect the journal surface (for radial bearings) or thrust collar (for thrust bearings) from damage. To serve as a sacrificial material, this lining should be softer than the journal surface and accept contact from hard contaminants in the lubricant [4,5].…”

Section: Introductionmentioning

confidence: 99%

“…This can be caused by sudden acceleration and deceleration of the bearings, causing the rolling elements to deform the cage pillars. Installation and shock loading can also cause damage to the cage [4,5]. Countermeasures include ensuring proper installation, loading conditions and, if needed, changes to more robust cage designs.…”

Section: Fig2: Wire Rod Mill In Vizag Steel Plantmentioning

confidence: 99%

See 2 more Smart Citations

Lubricant Failure Analysis of Roll Neck Bearings of Wire Rod Mill: A Case Study

Arun¹,

J²,

Eswaraiah³

et al. 2017

Nctet-2k17

View full text Add to dashboard Cite

show abstract

“…Bakelite mounted and polished cut sections were used for metallographic observation and hardness measurements. The microstructure was studied after etching with 3% Nital [3,4].…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Fig2: Wire Rod Mill In Vizag Steel Plantmentioning

confidence: 99%

See 1 more Smart Citation

Lubricant Failure Analysis of Roll Neck Bearings of Wire Rod Mill: A Case Study

Arun¹,

J²,

Eswaraiah³

et al. 2017

Nctet-2k17

View full text Add to dashboard Cite

show abstract

“…Generally, the fatigue failure is characterized by the formation of micro cracks beneath the contact surface where the alternating shear stress reaches a maximum value [19]. Failure can occur in the raceways or the rolling elements in rolling bearings by flaking due to the coalescence of the micro cracks initiated by the repeated contact stress [17,19].…”

Section: Bearing Dynamics and Degradationmentioning

confidence: 99%

“…Contact fatigue, which usually leads to single-point faults, accounts for a large percentage of bearing failure [14,17,18]. [19,20].…”

Section: Bearing Dynamics and Degradationmentioning

confidence: 99%

Multi-Sensor Condition Monitoring of Bearings Using Support Vector Machines

Kan¹

View full text Add to dashboard Cite

Keywords AbstractBearings are one of the most commonly-used and crucial components in the majority of rotating machines in industrial applications. Failure of this component is common and can lead to machine breakdown. If it is not detected in time, bearing faults can even lead to catastrophic failures. An effective diagnostic system provides early warning and fault identification such that any machine breakdown can be avoided. Condition monitoring can benefit plant operators resulting in shorter downtimes, higher operation reliability, reduced operations and maintenance cost, and more effective maintenance and logistics planning.However, machines and associated systems today are increasingly complex, while diagnostic techniques have been mainly applied to relatively simple rotating machines. Therefore, there is a need for research on condition monitoring techniques that can be applied to complex systems in variable operating conditions. This thesis presents a study on bearing condition monitoring under variable operating condition using Support Vector Machines. Data collected from multiple sensors including accelerometers, acoustic emission sensors and tachometers are used for the studies presented in this thesis. Support Vector Machines are an efficient method for classification and prediction, and shows outstanding performance in modelling and generalization.The study begins with collecting bearing condition monitoring data. Vibration analysis is a well-established technique, while acoustic emission is gaining an increasing amount of attention especially on its capability to detect bearing incipient fault such as subsurface cracks. Existing studies so far have not demonstrated AE's diagnostic capabilities using naturally-damaged bearing, and only a very few studies adopt envelope and cyclostationary analysis on bearing fault diagnosis with this sensor technology. Due to the second-order cyclostationary nature of bearing signals and the success of envelope analysis in analysing bearing signals, the diagnostic and prognostic studies presented in this thesis make use of both envelope analysis and cyclostationary analysis to analyse vibration and acoustic emission bearing signals that will be collected from bearing diagnostics and run-to-failure prognostic experiments through a bearing diagnostic test-rig and a bearing prognostic test-rig.Using the collected data, the effectiveness and diagnostic capability of cyclostationary analysis will first be assessed using feature analysis with support vector machine. A diagnostic study is then conducted, investigating the diagnostic effectiveness of acoustic emission and its superiority to vibration, especially in the detection of bearing subsurface cracks. Through comparison of AE with vibration signals, this study confirms AE's superiority in detecting subsurface cracks in bearings and the absence of vibration symptoms of subsurface cracks.This diagnostic study has also shown the crucial ability of the cyclic logarithmic envelope iii spectrum in separating different cyc...

show abstract